HPC Engineer, AI Infrastructure

Tesla s Supercomputing/AI infrastructure team works directly with the high-performance computing and machine learning infrastructure on which our ML algorithms run; this includes virtual simulations, Autopilot hardware, silicon design, and Dojo. With the rapidly-growing need for more data and optimized compute resources, cluster builds are getting larger and increasingly complex. Continued development/automation of deployment, monitoring, self-healing and alerting processes is imperative to the success of our engineering groups. As the scope and impact of our Optimus, Full-Self-Driving (FSD) & Robotaxi efforts continue to scale, so does the value of this team and its work.

As an HPC Engineer, you will be responsible for maintaining and improving our platform to ensure our Full-Self-Driving (FSD), Optimus & Dojo engineering teams have the necessary tools and resources to be productive. This includes managing/operating our AI infrastructure, monitoring compute/GPU/network metrics, Linux troubleshooting & performance tuning, and collaborating with our Data Center team to coordinate the smooth operation of hundreds of servers & bring up new GPU capacity. Your work will directly facilitate neural network training at scale, streamline FSD development, and enable Dojo to become the most powerful supercomputer to date.

• Support the AI/ML cluster infrastructure on both GPU and Dojo platforms, focusing on systems automation, configuration management and deployment at scale
• Improve our monitoring & self-healing pipelines, as well as security posture
• Work with hardware and storage vendors to tune and optimize our server, storage and network performance
• Performance tuning & OS provisioning on Linux systems
• Manage HPC clusters, workloads and applications
• Automation and systems engineering
• Participate in 24x7 on-call rotation
• Proficiency with scripting languages such as Python or Bash
• Proficiency with Linux & network fundamentals
• Experience with configuration management software (Ansible, etc.), systems monitoring & alerting (Prometheus, Grafana, Telegraf, Splunk, etc.) is a plus
• Experience with high-throughput low-latency networks, GPU-based computing systems, and/or high performance storage systems is a plus
• Experience with Slurm, LSF and storage management of parallel file systems is a plus
• Degree in Computer Science, Computer Engineering, Electrical Engineering, Physics or proof of exceptional skills in related field
• 3+ years of additional equivalent experience or evidence of exceptional ability related to the position

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$140,000 - $252,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.